Data Scientist

Our client, an American retailer that owns and operates 4 brands that are well known, is looking for someone to join their team as a Data Scientist. This role is fully remote. In this role, you will work on high-impact projects in domains such as retail, inventory management, and operations research, collaborating with data scientists, engineers, and business stakeholders. Required Skills & Experience • Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research. • Proficiency in Python, SQL, and PySpark. • Experience with Databricks or similar enterprise cloud environments. • Strong understanding of CI/CD principles and version control through GitHub Enterprise. • Experience defining and validating service contracts using Pydantic for data validation and API schema enforcement. • Experience with production-level coding and deployment practices. • Proficient in data science libraries and ML pipelines such as; NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow. Desired Skills & Experience • Experience in Agile development environments. • Exposure to cloud platforms (e.g., Azure, AWS, GCP). • Familiarity with APIs including how RESTful services in data science workflows. What You Will Be Doing • Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks. • Collaborate with data scientists to translate models into production-ready code. • Implement CI/CD pipelines and manage code repositories using GitHub Enterprise. • Design and optimize mathematical programming and machine learning models for real-world applications. • Work independently to break down complex problems into actionable development tasks. • Ensure code quality, scalability, and maintainability in a production environment. • Contribute to sprint planning, documentation, and cross-functional collaboration.